Scatterplot
When I want to visualize a relationship between two variables (possibly third as well)
import numpy as np
import pandas as pd
import os
from IPython.display import display, Image
import plotly.graph_objs as go
import plotly
merge = pd.read_csv('../data/scatter-1.csv')
fig = go.Figure(data=go.Scatter(
y = merge['homebuyers'],
x = merge['mean_age'],
mode='markers',
marker=dict(
size=8,
color=merge['household_count'], # set color equal to a variable
colorscale='Viridis',
showscale=True
)
))
# Plot labels
fig.update_layout(title='',
xaxis_title='Average Age',
yaxis_title='Total Homes Bought',
annotations=[
],
shapes=[])
fig.show()
Image(filename='../images/scatter-figure-1.png')
So pretty!
df = plotly.data.iris()
setosa = go.Scatter3d(
x=df.loc[df['species'] == 'setosa'].loc[:, 'sepal_length'],
y=df.loc[df['species'] == 'setosa'].loc[:, 'sepal_width'],
z=df.loc[df['species'] == 'setosa'].loc[:, 'petal_length'],
mode='markers',
marker=dict(
size=4,
opacity=0.8
),
name='setosa'
)
versicolor = go.Scatter3d(
x=df.loc[df['species'] == 'versicolor'].loc[:, 'sepal_length'],
y=df.loc[df['species'] == 'versicolor'].loc[:, 'sepal_width'],
z=df.loc[df['species'] == 'versicolor'].loc[:, 'petal_length'],
mode='markers',
marker=dict(
size=4,
opacity=0.8
),
name='versicolor'
)
virginica = go.Scatter3d(
x=df.loc[df['species'] == 'virginica'].loc[:, 'sepal_length'],
y=df.loc[df['species'] == 'virginica'].loc[:, 'sepal_width'],
z=df.loc[df['species'] == 'virginica'].loc[:, 'petal_length'],
mode='markers',
marker=dict(
size=4,
opacity=0.8
),
name='virginica'
)
data = [setosa, versicolor, virginica]
layout = go.Layout(
margin=dict(
l=0,
r=0,
b=0,
t=0
),
scene={"aspectmode": "cube",
"xaxis": {"title": "sepal_length", },
"yaxis": {"title": "sepal_width", },
"zaxis": {"title": "petal_length", }}
)
fig = go.Figure(data=data, layout=layout)
fig.show()
Image('../images/scatter-figure-2.png')